Yoonsook Mo
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Linguistics and Language top 5%
- Language and Linguistics top 5%
- Cognitive Neuroscience
- Co-authors
- Jennifer ColeMark Hasegawa‐JohnsonEun Kyung LeeMargaret M. FleckStefanie Shattuck‐HufnagelJosé Ignacio HualdeMark TiedeLouis Goldstein
- Topics
- Phonetics and Phonology Research (15 papers)Linguistic Variation and Morphology (8 papers)Speech and dialogue systems (8 papers)
- Journals
- The Journal of the Acoustical Society of AmericaLaboratory Phonology Journal of the Association for Laboratory PhonologyLanguage and Cognitive Processes
- Partner nations
- United States
In The Last Decade
Yoonsook Mo
16 papers receiving 253 citations
Peers
Comparison fields: 5 of 25
- Experimental and Cognitive Psychology 278
- Artificial Intelligence 145
- Linguistics and Language 128
- Language and Linguistics 96
- Cognitive Neuroscience 56
Countries citing papers authored by Yoonsook Mo
This map shows the geographic impact of Yoonsook Mo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yoonsook Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoonsook Mo more than expected).
Fields of papers citing papers by Yoonsook Mo
This network shows the impact of papers produced by Yoonsook Mo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yoonsook Mo. The network helps show where Yoonsook Mo may publish in the future.
Co-authorship network of co-authors of Yoonsook Mo
This figure shows the co-authorship network connecting the top 25 collaborators of Yoonsook Mo. A scholar is included among the top collaborators of Yoonsook Mo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yoonsook Mo. Yoonsook Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 67 | |
| 7 | 10 | |
| 8 | 119 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 48 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | TEMPORAL, SPECTRAL EVIDENCE OF DEVOICED VOWELS IN KOREAN | 9 |
| 16 | Prosodic parallelism as a cue to repetition disfluency | 2 |
| 17 | Prosodic parallelism as a cue to repetition and error correction disfluency. | 9 |
About Yoonsook Mo
Yoonsook Mo is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (15 papers), Linguistic Variation and Morphology (8 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Linguistics and Language (128 citations), Experimental and Cognitive Psychology (278 citations) and Language and Linguistics (96 citations). Yoonsook Mo has collaborated with scholars based in United States. Frequent co-authors include Jennifer Cole, Mark Hasegawa‐Johnson, Eun Kyung Lee, Margaret M. Fleck, Stefanie Shattuck‐Hufnagel, José Ignacio Hualde, Mark Tiede, Louis Goldstein, Chilin Shih and Heejin Kim. Their work appears in journals such as The Journal of the Acoustical Society of America, Laboratory Phonology Journal of the Association for Laboratory Phonology and Language and Cognitive Processes.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.